A Study on Driving Detection Performance by Virtual-Environment Technologies

Abstract

The purpose of the present research was to examine the effects of gender, field dependence and background complexity on driving detection performance to enhance the training efficiency of a driving simulator. The experiment was conducted through the use of virtual-environment technologies to evaluate driving detection performance of 48 subjects (24 males and 24 females). The results not only showed similar main effects of gender, field dependence and background complexity on detection performance as past studies indicated, but also demonstrated strong evidence in those interactions of multiple experimental factors on driving detection performance in different ways. The implications for designing VE simulators and the related training programs were also discussed.